Exclusive | Pentagon Used Anthropic’s Claude in Maduro Venezuela Raid - WSJ
Exclusive | Pentagon Used Anthropic’s Claude in Maduro Venezuela Raid WSJ
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What formal protocols should exist when a model under evaluation is used in the evaluation pipeline?
Following the criticisms listed by Yaniv Golan and Zvi Mowshowitz in response to the Opus 4.6 System Card https://medium.com/@yanivg/when-the-evaluator-becomes-the-evaluated-a-critical-analysis-of-the-claude-opus-4-6-system-card-258da70b8b37 https://thezvi.wordpress.com/2026/02/09/claude-opus-4-6-system-card-part-1-mundane-alignment-and-model-welfare/ and the brief commentary by Peter Wildeford https://x.com/peterwildeford/status/2019480244789387478 It is clear that this has already been acknowledged as a problem. Is this a problem that is being worked on in any capacity? What are some possible solutions? Discuss
Anthropic Accidentally Open-Sourced Their Most Valuable Product. Here’s Everything That Was Inside.
npm · Source Map Leak · March 31 2026 The entire source code of Claude Code - 1,906 files, 512,000+ lines of TypeScript was sitting in plain sight on the npm registry via a sourcemap file. The thread has over 3.1 million views. The funniest part? They built a whole system to stop Claude from leaking secrets. Then shipped the entire source in a .map file. T oday is March 31, 2026. I woke up in Puducherry, opened X, and the top trending thread was from a security researcher named Chaofan Shou posting as @Fried_rice who had just found the entire source code of Claude Code sitting on a public server. Not hacked. Not compromised. Just there. Accessible via a single curl command. Downloadable as a ZIP. 3.1 million views later, the internet is still reading through it. I am writing this on Claude
The Gap That’s Keeping You Employed — And Why It Won’t Last
Anthropic’s Labor Market Data Is the Most Honest Thing an AI Company Has Ever Published There is a number buried in a recent Anthropic research paper that should stop every knowledge worker cold: 33% . That is the fraction of tasks Claude is actually being used for, out of the tasks it is theoretically capable of handling in computer and math occupations. The theoretical ceiling, established by prior academic work, sits at 94%. The observed floor, measured from real usage data, sits at 33%. A 61-percentage-point gap. And according to the researchers themselves — Anthropic’s own Maxim Massenkoff and Peter McCrory — every structural force creating that gap is actively shrinking. This is not a speculative think-piece. This is a company using its own proprietary usage telemetry to measure some
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My biggest Issue with the Gemma-4 Models is the Massive KV Cache!!
I mean, I have 40GB of Vram and I still cannot fit the entire Unsloth Gemma-4-31B-it-UD-Q8 (35GB) even at 2K context size unless I quantize KV to Q4 with 2K context size? WTF? For comparison, I can fit the entire UD-Q8 Qwen3.5-27B at full context without KV quantization! If I have to run a Q4 Gemma-4-31B-it-UD with a Q8 KV cache, then I am better off just using Qwen3.5-27B. After all, the latter beats the former in basically all benchmarks. What's your experience with the Gemma-4 models so far? submitted by /u/Iory1998 [link] [comments]
DenseNet Paper Walkthrough: All Connected
When we try to train a very deep neural network model, one issue that we might encounter is the vanishing gradient problem. This is essentially a problem where the weight update of a model during training slows down or even stops, hence causing the model not to improve. When a network is very deep, the [ ] The post DenseNet Paper Walkthrough: All Connected appeared first on Towards Data Science .
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